All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–6 of 6 filtered models
mnDINO
———Vision transformer trained with DINO self-supervision to segment micronuclei in DNA-stained fluorescence images across cell lines and microscopes.
Imaging32OpennessMedSigLIP
29837421KMedically tuned SigLIP encoder from Google that maps medical images and text into one embedding space for zero-shot classification and retrieval.
ImagingPathology30OpennessCryo-IEF
73——Cryo-EM foundation model pre-trained on 65 million particle images, enabling zero-shot classification, pose clustering, and quality assessment.
Imaging42OpennessMoTT
137—Transformer-based single particle tracker for fluorescence microscopy, using multi-hypothesis attention to link particles at low SNR and high density.
Imaging20OpennessBrain TokenGT
2514—Tokenized graph transformer that embeds longitudinal brain functional connectomes from fMRI for interpretable neurodegenerative disease diagnosis.
Imaging26OpennessBiomedCLIP
128665878.5KBiomedical vision-language model trained contrastively on 15M PubMed Central figure-caption pairs for zero-shot classification, retrieval, and VQA.
Imaging61Openness